# Copyright(C) 2023. Huawei Technologies Co.,Ltd. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys
from multiprocessing import Process, Queue

from base_model import AI_Model
from wav2lip.wav2lip_infer import Wav2lip


class Wav2lipModel(AI_Model):
    ''' Wav2lip model takes in np.array format data from input queue '''
    def __init__(self, wav2lip_in_queue, wav2lip_out_queue, wav2lip_init_done):
        super().__init__(wav2lip_in_queue, wav2lip_out_queue)
        wav2lip = Wav2lip('/home/digital_human/wav2lip_alg/config.yaml')
        
        self.wav2lip_inference_proc = Process(target=wav2lip.run,
                                              args=(self.input_queue, self.output_queue, wav2lip_init_done))

    def run(self):
        self.wav2lip_inference_proc.start()
        